1832: WalkOut CEO Goes Where Amazon Does Not GO

1832: WalkOut CEO Goes Where Amazon Does Not GO

Assaf Gedalia is the co-founder of WalkOut, the developer of an autonomous end-to-end checkout platform that created a smart cart solution to provide an efficient, frictionless checkout.

This smart cart is an AI, computer vision-based solution mounted onto shopping carts in the form of a screen and cameras and becomes shoppers' personalized advisory board. WalkOut can identify every item placed in the cart with high accuracy, tally them up, and notify the shopper of an anomaly. That means knowing when an item is what the shopper is looking for, if it goes against a dietary need, or contains an ingredient that will cause an allergic reaction.

Walkout provides shoppers with a unique experience where all they have to do is walk in, place items in the cart, and walk out. Unlike other checkout options, the tally, bagging, and payments are all done on the cart itself.

Assaf Gedalia is the co-founder of WalkOut, the developer of an autonomous end-to-end checkout platform that created a smart cart solution to provide an efficient, frictionless checkout.

This smart cart is an AI, computer vision-based solution mounted onto shopping carts in the form of a screen and cameras and becomes shoppers' personalized advisory board. WalkOut can identify every item placed in the cart with 99.2% accuracy, tally them up, and notify the shopper of any anomaly.

So shoppers have prime convenience, and grocers can implement the affordable WalkOut solution that involves very little changes to the shop's environment and compete with the bigger players.

In today's episode, Assaf shares how technology upgrades traditional brick & mortar shops and improves the shopping experience. We also chat about why smart carts are the best integration for a shop and the benefits of in-store shopping compared to online \ delivery \and even Amazon GO. Finally, we discuss the intricacies of the different proprietary algorithms WalkOut developed to reach a 99.2% accuracy rate on product identification.

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